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Description
Cincel Lexer de 30 mm. de ancho y 220 mm. de longitud
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.191.2568.00
Presentation
Pieza
Each circle represents one of the 2 purchases of CINCEL made by the IMSS between 2013 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 1,753.9 MXN | 241.9 MXN | 16 % | 0.16 | 17 de julio de 2013 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 1,179.1 MXN | 162.6 MXN | 16 % | 0.16 | 3 de noviembre de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DEWIMED, S. A. | 1 | 162.6 MXN | 16 % | 0.16 | 2016 - 2016 |
| INSTRUMENTAL E IMPLANTES ORTOPEDICOS S.A. DE C.V. | 1 | 241.9 MXN | 16 % | 0.16 | 2013 - 2013 |
Entity type
Instrumental de cirugia de especialidades
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=537.191.2568.00")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=537.191.2568.00')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=537.191.2568.00')